Senior Software Engineer Jobs

789,097 open positions · Updated daily

Senior Software Engineers are at the forefront of the digital transformation wave, with 2,565 roles open across AI, cloud-native, and edge computing domains. The demand is driven by companies accelerating cloud migration, adopting microservices architectures, and integrating AI into product pipelines, resulting in a 30% salary premium for candidates who master Kubernetes, Terraform, and multi-cloud strategies.

Within the Senior Software Engineer category, roles split into platform architects, DevOps leads, backend specialists, and AI/ML engineers. Typical responsibilities include designing distributed systems that scale to millions of users, building CI/CD pipelines with GitHub Actions or ArgoCD, implementing observability with Prometheus and Grafana, and mentoring junior engineers while driving secure coding practices.

Salary transparency is critical for senior engineers because compensation can vary by stack and company size. Knowing the exact pay range for a Kubernetes‑focused role versus a .NET backend role helps engineers negotiate better offers, spot regional wage gaps, and make data‑driven career moves.

Application Developer-Cloud FullStack

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

The text describes a Software Developer role at IBM Consulting, emphasizing collaboration with global clients on hybrid cloud and AI projects, responsibilities including feature development and stakeholder collaboration, and requirements for Java and React expertise. It highlights career growth opportunities and innovative work environments.

Application Developer-Open Source

Company: IBM

Location: Cebu, PH

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients, technical expertise, and open-source development. It outlines responsibilities, required skills, and work environments for software developers in IBM's delivery centers.

SAP HANA OTC- SD

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 09, 2025

The text describes a career in IBM Consulting emphasizing collaboration with global clients, innovation in hybrid cloud and AI, and opportunities for professional growth through strategic partnerships and technology platforms. It highlights roles involving solution leadership, team management, and technical expertise in SAP systems.

SAP FI Team Leader

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description highlights a career at IBM Consulting focused on delivering innovative SAP solutions, fostering collaboration with clients, and enabling digital transformation through strategic technology implementations. It emphasizes growth opportunities, skill development, and impactful project work across industries.

Application Developer-RDBMS

Company: IBM

Location: Mysore, IN

Posted Dec 09, 2025

The text promotes an IBM Consulting career emphasizing global impact, innovation, and professional growth. It highlights opportunities to work with industry leaders, leverage technology platforms, and contribute to transformative projects. The role offers collaboration, technical expertise, and career development, with a focus on agile environments and problem-solving.

Data Engineer-Data Platforms

Company: IBM

Location: Navi Mumbai, IN

Posted Dec 09, 2025

This job description outlines a Data Engineer role at IBM, emphasizing technical expertise in big data technologies, cloud platforms, and agile methodologies. Responsibilities include designing solutions, continuous improvement, and collaborating with technology teams. Required skills involve Apache Spark, Hadoop, Python, and SQL proficiency.

Data Engineer-Data Platforms-AWS

Company: IBM

Location: Kochi, IN

Posted Dec 09, 2025

The text describes a Data Engineer role at IBM Consulting, emphasizing technical expertise in big data technologies like Spark, Hadoop, and Azure cloud platforms. It outlines responsibilities involving data pipeline development, streaming solutions, and cloud ecosystem components. Required qualifications include a bachelor's degree, 4+ years of big data experience, and proficiency in tools such as DataBricks and SQL.

Data Engineer-Data Platforms

Company: IBM

Location: Kochi, IN

Posted Dec 09, 2025

This job description outlines a Data Engineer role at IBM Consulting, emphasizing responsibilities like designing solutions, driving innovation, and collaborating with technology teams. It highlights required skills in big data technologies, cloud platforms, and programming languages, while also mentioning preferred qualifications such as architecture strategy and detection tools.

Paid Internship Access Blue 2026 01

Company: IBM

Location: Tokyo, JP

Posted Dec 09, 2025

IBM's mission to improve society through technology is highlighted, along with job requirements for a Japanese-speaking role involving IT skills and support for disabled applicants.

Appian Architect/Senior Developer

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration with global clients and opportunities to drive innovation. The role requires expertise in Appian development, integration technologies, and Agile methodologies, with a strong emphasis on security and performance optimization.

Federal Associate Quality Engineer Tester (Rocket Center, WV)

Company: IBM

Location: Rocket Center, US

Posted Dec 09, 2025

The text describes a role at IBM Consulting focusing on technical expertise, professional development, and collaboration with global clients. It highlights opportunities for growth, agile work environments, and contributions to innovative technology solutions.

Data Engineer - Business Intelligence Internship

Company: IBM

Location: Casablanca, MA

Posted Dec 09, 2025

This job description outlines a data engineering role focused on designing cloud-based data solutions, building scalable pipelines, creating analytical dashboards, and collaborating with cross-functional teams. It emphasizes technical expertise in Azure, Databricks, Power BI, and data governance while requiring a master's degree and problem-solving skills.

Frequently Asked Questions

What are the typical salary ranges for Senior Software Engineers?
In the U.S., Senior Software Engineers earn between $120,000 and $200,000 annually, depending on location and tech stack. In Europe, the range is €70,000–€110,000, while in India it spans ₹12,00,000–₹25,00,000. Companies factoring in advanced skills like Kubernetes, Terraform, or AI/ML often push the upper end of these brackets.
Which skills and certifications do Senior Software Engineers need?
Core languages include Go, Java, Python, TypeScript, and Rust. Must‑have tools are Docker, Kubernetes, Terraform, GitHub Actions, and Prometheus. Certifications such as AWS Certified Solutions Architect, GCP Professional Cloud Architect, Microsoft Certified: Azure Solutions Architect Expert, and Certified Kubernetes Administrator (CKA) significantly boost employability.
How common is remote work for Senior Software Engineer roles?
Over 70% of senior engineering positions on the board offer fully remote or hybrid arrangements. Companies in the tech and fintech sectors prioritize flexibility, enabling engineers to work from any location while maintaining collaboration through Slack, Zoom, and remote‑first design reviews.
What career progression paths exist beyond Senior Software Engineer?
Typical trajectories include Staff Engineer, Principal Engineer, Distinguished Engineer, and Engineering Manager. Advancement often requires leadership in system design, cross‑team mentorship, and ownership of high‑impact projects, as well as contributions to open source or industry standards.
What industry trends are shaping Senior Software Engineer roles today?
Emerging trends include AI‑driven observability, serverless and edge computing, multi‑cloud orchestration, and infrastructure‑as‑code (IaC). Engineers who master cloud‑native patterns, continuous delivery, and data‑centric AI model deployment are in the highest demand.

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